Engineering AI Value, One Graph at a Time
Unomiq helps operating AI systems in production overcome unpredictability and inefficiencies by providing a performance and economics engineering platform built on runtime context graphs
Organizations are adopting AI faster than they can prove value
They're missing the context layer that connects AI execution to value
It takes 3 to 9 months to move from pilot to production, only for economic issues to surface too late to correct.
40% of agentic AI systems are expected to be canceled due to escalating costs or unclear value.
88% of AI POCs never reach deployment because ROI can’t be measured with confidence.
Runtime Context Graphs for AI Systems
Unomiq provides the runtime context graphs that helps teams operating large-scale AI systems deliver scalable outcomes with confidence
Prevention
Detect risks early. Stop issues before they reach customers.
Remediation
Pinpoint root causes fast. Recover performance without war rooms.
Optimization
Optimize performance and unit economics across your AI systems.
Two loops. One platform.
Observe - Orient - Decide - Act
Capture and analyze AI system telemetry in production. Understand what the system is doing, why, where it breaks, and what to change.
Observe - Stabilize - Standardize - Optimize
Map execution paths to cost, revenue, and profitability. Know which parts of your system create value and which destroy it.
Preliminary benchmarks
Coding agents benchmarked with raw traces as context against Unomiq’s graph-assisted analysis. This evaluation utilized multiple frontier models, including Opus 4.7, Sonnet 4.6, GPT-5.4, and GPT-5.5.
35%
Faster time to resolution
30%
Fewer tokens consumed
15%
Overall token cost reduction
Build and use your first runtime
context graph today
Currently in private beta, no credit card required. Request early access or book a custom demo for your enterprise.